Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

3,015 articles
Stay Ahead - Weekly Strokes research updates
Subscribe
Browse Categories
Showing 1471-1491 of 3,015 articles
Effects of robot-assisted upper limb rehabilitation in stroke patients: a systematic review with meta-analysis.

Technology-supported training is emerging as a solution to support therapists in their efforts provi...

An intelligent support system for automatic detection of cerebral vascular accidents from brain CT images.

OBJECTIVE: This paper presents a Radial Basis Functions Neural Network (RBFNN) based detection syste...

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT.

Machine learning applications for personalized medicine are highly dependent on access to sufficient...

Robot-assisted thoracoscopic lobectomy as treatment of a giant bulla.

BACKGROUND: A bulla is a marked enlarged space within the parenchyma of the lung. Bullae may cause d...

Electromechanical-assisted training for walking after stroke.

BACKGROUND: Electromechanical- and robotic-assisted gait-training devices are used in rehabilitation...

Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium .

Whereas genomes can be rapidly sequenced, the functions of many genes are incompletely or erroneousl...

A Neuromuscular Electrical Stimulation (NMES) and robot hybrid system for multi-joint coordinated upper limb rehabilitation after stroke.

BACKGROUND: It is a challenge to reduce the muscular discoordination in the paretic upper limb after...

Novel Screening Tool for Stroke Using Artificial Neural Network.

BACKGROUND AND PURPOSE: The timely diagnosis of stroke at the initial examination is extremely impor...

Detection of Intracranial Hypertension using Deep Learning.

Intracranial Hypertension, a disorder characterized by elevated pressure in the brain, is typically ...

Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients.

BACKGROUND: The pronator drift test (PDT), a neurological examination, is widely used in clinics to ...

Quantification of task-dependent cortical activation evoked by robotic continuous wrist joint manipulation in chronic hemiparetic stroke.

BACKGROUND: Cortical damage after stroke can drastically impair sensory and motor function of the up...

Portable and Reconfigurable Wrist Robot Improves Hand Function for Post-Stroke Subjects.

Rehabilitation robots have become increasingly popular for stroke rehabilitation. However, the high ...

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.

BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobil...

An exploration of physiotherapists' experiences of robotic therapy in upper limb rehabilitation within a stroke rehabilitation centre.

PURPOSE: Strokes are the world's leading cause of adult disability, with movement impairment being m...

(matico) prevents collagen-induced platelet activation by decreasing phospholipase C-gamma 2 and protein kinase C phosphorylation signaling.

Platelets play a key role in thrombosis and cardiovascular diseases. Medicinal plants could be one o...

A review of supervised machine learning applied to ageing research.

Broadly speaking, supervised machine learning is the computational task of learning correlations bet...

Quantitative EEG for Predicting Upper Limb Motor Recovery in Chronic Stroke Robot-Assisted Rehabilitation.

Stroke is a leading cause for adult disability, which in many cases causes motor deficits. Despite t...

Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction.

We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") co...

Evaluation Results of an Ontology-based Design Model of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke Patients.

OBJECTIVES: 1) To enhance the content of an ontology for designing virtual environments (VEs) for up...

Efficacy of Short-Term Robot-Assisted Rehabilitation in Patients With Hand Paralysis After Stroke: A Randomized Clinical Trial.

BACKGROUND: We evaluated the effectiveness of robot-assisted motion and activity in additional to ph...

Kinesthetic deficits after perinatal stroke: robotic measurement in hemiparetic children.

BACKGROUND: While sensory dysfunction is common in children with hemiparetic cerebral palsy (CP) sec...

Browse Categories